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66 Security Dealer & Integrator / www.SecurityInfoWatch.com October 2018
Enabling Artificial
Intelligence
Both radar and LiDAR are helping to
enable further use of Artificial Intelli-
gence and deep learning in perimeter
detection systems.
e detail and accuracy of LiDAR
has enabled one company – Cana-
da-based Geo-Plus – to create and
integrate AI into its functionality. In
fact, its VisionLidar point cloud so-
ware includes an object recognition
tool to automatically detect and recog-
nize the geometry of an object.
"Many solution providers have been
successfully using artificial intelli-
gence to 'learn' virtually any object,
making LiDAR devices, in many cases,
faster, more accurate and less costly
than present day video analytics with
network cameras," Surfaro says.
Surfaro adds that another signifi-
cant feature is that objects can be visu-
alized and recognized while maintain-
ing privacy in public spaces – a key
consideration for clients who must
abide by new GDPR rules. "Consid-
ering the high costs to 'redact' or blur
facial features and vehicle license
plates in video clips – oen taking
eight hours to process a single minute
of surveillance video – LiDAR's costs
lower even further."
Radar is also being paired with
advanced artificial intelligence and
deep learning-enabled soware to
enable precise object classification
and false alarm reduction. "Today's
advanced radar systems are built with
onboard signal processing and ana-
lytics, giving them the ability to work
with video surveillance systems to
determine whether a moving object is
a threat or simply an animal," Zussman
explains. "is recognition capability
significantly reduces the risk of nui-
sance alerts."
3D Mapping
What would you do with ten billion
points of LiDAR geolocation data in
three dimensions? Build a Digital Eleva-
tion Model (DEM) or a Digital Surface
Model (DSM), of course. Unique to
LiDAR, these 3D models are so popular
that there are public imaging libraries
available to users needing 3D plots of a
facility's surrounding areas.
"Many facility managers with
sprawling campuses, as well as regional
airport managers, oen
find themselves in a posi-
tion of compromising a
security design in favor
of developing a 'mini-
mum-needs' plan," Sur-
faro says. "From con-
struction sites to mapping
flood disaster areas, a
LiDAR sensor can be
mounted on a security
guard's vehicle and come
along for the ride, deliver-
ing 3D imagery."
LiDAR devices produce
survey-grade data using
systems mounted on air-
cra, drones, vehicles, ves-
sels, and even backpacks.
Both building heights and
depressions (grades) of
a facility's perimeter are
rendered in an illustration coloriz-
ing objects according to their height.
Using these 3D maps gives integrators
a much better idea of where surveil-
lance cameras can – or should – be
mounted. e 3D map can also be
used to pinpoint alarms or location of
staff in need of medical attention.
Target Markets
Finally, because both radar and
LiDAR deliver similar results, the tar-
get markets for these technologies are
virtually identical. Potential monitor-
ing opportunities include:
•
Airports;
•
Bridges;
•
Commercial facilities;
•
Construction sites;
•
City traffic intersections;
•
Dams;
•
Data centers;
•
Government facilities;
•
Logistics and distribution centers;
•
Nuclear power plants;
•
Residential estates;
•
K-12 and higher education
perimeters;
•
Utility substations; and
•
Drone protection and mitigation. ■
Commercial radar can detect targets more than half a mile away.
Perimeter Security
Photo:
Magos